Prashant Bhuyan

I started Accrete in 2017 to solve AI’s context problem—how to capture tacit knowledge, the hard-won wisdom trapped in human heads. Prior to Accrete, I built high-frequency trading systems, where it was obvious that autonomy without expert judgment is a compounding and existential liability. This led me to architect Knowledge Engines to dynamically capture human judgment and ground machine reasoning. Knowledge Engines—bitemporal, continuously learning graphs that build themselves—act as an institutional brain, capturing the "why" behind organizational behavior rather than just the static "what. " No amount of compute or capital can recreate the years of real-world experience required to develop good judgment. Since this tacit insight is perishable and lost when employees leave, Knowledge Engines observe workflows and interact naturally with experts via agents during active problem-solving, converting transient human wisdom into a permanent, compounding substrate for autonomous operations. Dynamic tacit knowledge capture is paramount today. Ungrounded agents tend to develop a mind of their own, whereas true accountability requires complete traceability—linking every agentic action back to its rationale and human origin. Captured tacit memory also serves as the foundation for high-fidelity simulation and predictive decision-making. Imagine a world where expert judgment persists in agents long after people leave, propagating across the organization to compound understanding in perpetuity. We spent years winning the trust of the U.S. government, building an institution capable of proving this substrate across top-secret defense and intelligence operations while growing revenue by 364% over the past three years. These high-stakes environments taught us that sovereignty over proprietary judgment and know-how, alongside absolute accountability, are the keys to transforming chatbots and co-pilots into agentic labor trusted to execute consequential decisions. For this reason, we architected Knowledge Engines around deterministic control before bringing them to the enterprise. Intelligence is becoming abundant, but expert judgment remains scarce; organizations that fail to record their context trade away compounding superintelligence.